Pith Number
pith:IQ6IMBWA
pith:2022:IQ6IMBWAVP5I5MKZGJZJENCGJE
not attested
not anchored
not stored
refs pending
Feature screening for multi-response linear models by empirical likelihood
arxiv:2206.02017 v1 · 2022-06-04 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQ6IMBWAVP5I5MKZGJZJENCGJE}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T04:28:59.487500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
443c8606c0abfa8eb15932729234464912bd42e6a0604e53f73b373ef0c42c82
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQ6IMBWAVP5I5MKZGJZJENCGJE \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 443c8606c0abfa8eb15932729234464912bd42e6a0604e53f73b373ef0c42c82
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7ff29b4cc8468ce3d7a530afc0c5120f020a765192d3d15908868c2d2a4267c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2022-06-04T15:48:17Z",
"title_canon_sha256": "10fb28f675dcdb0ee0c719230683d07fb5fc305efd140bde9e61826b7aed4fe0"
},
"schema_version": "1.0",
"source": {
"id": "2206.02017",
"kind": "arxiv",
"version": 1
}
}